In 2022, the financial services industry saw a continued focus on digital transformation, as the world marked the beginning of post pandemic life and began facing tough macroeconomic challenges.
Digital investment has rumbled on and is expected to reach some US$3.4 trillion by 20261. With many businesses having made great strides in digital transformation, they are tasked not just with surviving, but building on the good foundations they have laid in recent years.
The financial services industry is highly competitive and is subject to increasingly stringent industry regulations. This environment means financial institutions must constantly monitor for opportunities to differentiate their capabilities using technology. Consequently, many look to transform their digital capabilities using the most recent technologies to get ahead.
A&M’s Financial Services Industry and Digital Technology Services highlight 10 digital predictions for financial services in 2023. Download the full article to see what your organisation should be considering.
Download
The AI Deployment Gap and How to Close It
June 10, 2026
Most organizations are further along than they think. The challenge now is turning spontaneous adoption into deliberate deployment without losing what already works.
Redesigning Operating Models for Agentic AI at Scale
May 27, 2026
Enterprises are moving beyond traditional automation and AI copilots toward Agentic AI systems capable of making decisions, executing actions, and adapting dynamically in real time. Unlike earlier AI models that operated within fixed workflows, Agentic AI enables outcome-driven execution with minimal human intervention.
The Edge AI Revolution: From Centralised Cloud to Distributed, Real Time Edge
May 12, 2026
The evolution of artificial intelligence is reshaping how organisations derive value from their data and operations. This strategic playbook demonstrates how business leaders can move beyond traditional cloud-centric approaches and instead harness real-time intelligence at the edge.
Product and Platform Models: The Operating Model Enterprises Need to Scale Technology and Generate Recurring Business Value
February 16, 2026
This insight explains why traditional project-based IT operating models fall short for always evolving digital products and shared platforms, creating fragmented ownership and slower delivery. Our experts outline how a product and platform model with persistent teams, clear accountability, and strong governance helps enterprises scale technology and drive recurring business value.
